Senior Quantitative Risk Manager - BSA​/AML

Overview

This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle—including requirements gathering, development, testing/validation, implementation, and ongoing monitoring—and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.

• Design, develop, test/validate, implement, andmonitorstatistical and machine learning models across the full model development lifecycle.

• Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.

• Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.

• Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review).

• Develop andmaintainproduction-quality analytics using Python and SAS.

• Collaborate with internal and external partners tooptimizethe risk/reward equation and maximize profitability.

• Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks.

• Manage and develop Quantitative Analysts and Modelers, including performance and skills development.

• Ensure adherence to risk management frameworks, regulatory standards, and internal controls.

• Exercise managerial authority related to staffing, performance, and compensation decisions.

• Promote an inclusive environment that reflects the M&T Bank brand.

Bachelors’ degree,

OR in lieu of a degree,

A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience)

-OR-

Master’s degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years’ related experience (inclusive of 4 years supervisory/management experience),

OR in lieu of a degree,

A combined minimum of 14 years’ higher education and/or work experience, including a minimum of 8 years’ related experience and/or (inclusive of 4 years supervisory/management experience).

Minimum of 10 years’ related experience (inclusive of 4 years supervisory/management experience)

Banking or Financial Services experience.

Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.

Advanced Knowledge of SQL and Microsoft Office.

Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.

Demonstrated ability to communicate complex concepts.

Demonstrated ability to manipulate and analyze data across large databases.

• Extensive experience with statistical and machinelearningmodel development and ongoing monitoring.

• Demonstrated experience leading models from concept through production.

• Strongproficiencyin both Python and SAS.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $ - $ Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

Buffalo, New York, United States of America

M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.